Hey!
How to Train your Chatbot, my in-the-making book on using LLMs to build all sorts of cool stuff, just got a massive update, more than 30% novel content since last email.
So far, we have over 140 pages of practical advice for using LLMs in real applications, including:
Part 1: A finished 4-chapters part on how LLMs work, and what are their capabilities and main limitations.
Part 2: One completed chapter on prompt engineering, and two completed chapters on augmentation techniques, covering RAG and function calling. Other techniques like code generation and fine-tuning will be covered soon.
Part 3: Three completed chapters on applications with full source code including a basic chatbot, a PDF Q&A bot, and an answering engine powered by search a la Perplexity AI.
Full source code for all the applications, including two more I haven't still written about but are fully implemented: a sales assistant bot with function calling and product generation, and a data analyst bot that can generate and execute Python code to answer questions about any CSV file.
Remember, getting early access to the book gives you all of the following:
Lifetime access to all book updates, plus special discounts for printed versions (if and whenever those are ready).
Access to fully functional Python code you can modify and reuse for your projects.
A private Discord channel where you can ask anything about the book and get help with the examples and your own code.
If this sounds enticing to you, here's an even better deal, a direct link to How to Train your Chatbot with a 50% discount.
And that’s all for today. Thank you for your continued support.
PS: Paid subscribers should receive a full discount coupon in the email version of this post. If that’s not the case, write to me.